Simulation of Knowledge Emergence Based on Complexity

Abstract

In order to reveal the law of knowledge evolution and solve the problem of knowledge emergence, this paper constructs the mathematical model of knowledge evolution with the complexity research method on base of defining the scales of knowledge agents. This paper reveals three states of knowledge evolution by directly observing the surface simulation model and using the
knowledge evolution equation and three-dimensional vector. Only if the intensity, scale or quantity of knowledge agents reaches a certain degree that when n1< h1 <h2 < n2. Within the interval (h1, h2), a large number of knowledge agents enter the chaotic region, and the system formalizes a chaotic order state. Studies have found that knowledge emergence is most likely to generating when the above conditions are satisfied.